Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks
Paralinguistic speech tasks are often considered relatively language-agnostic, as they rely on extralinguistic acoustic cues rather than lexical content. However, prior studies report performance degradation under cross-lingual conditions, indicating non-negligible language dependence. Still, these studies typically focus on isolated language pairs or task-specific settings, limiting comparability and preventing a systematic assessment of task-level language dependence. We introduce the Cross-Lingual Transfer Matrix (CLTM), a systematic method to quantify cross-lingual interactions between pairs of languages within a given task. We apply the CLTM to two paralinguistic tasks, gender identi...
| Authors | Pol Buitrago, Oriol Pareras, Federico Costa et al. |
|---|---|
| Primary category | eess.AS |
| Published | 9 March 2026 |
| Last updated at source | 6 October 2026 |
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